A Safety Standard Approach for Fully Autonomous Vehicles

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Abstract

Assuring the safety of self-driving cars and other fully autonomous vehicles presents significant challenges to traditional software safety standards both in terms of content and approach. We propose a safety standard approach for fully autonomous vehicles based on setting scope requirements for an overarching safety case. A viable approach requires feedback paths to ensure that both the safety case and the standard itself co-evolve with the technology and accumulated experience. An external assessment process must be part of this approach to ensure lessons learned are captured, as well as to ensure transparency. This approach forms the underlying basis for the UL 4600 initial draft standard.

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APA

Koopman, P., Ferrell, U., Fratrik, F., & Wagner, M. (2019). A Safety Standard Approach for Fully Autonomous Vehicles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11699 LNCS, pp. 326–332). Springer Verlag. https://doi.org/10.1007/978-3-030-26250-1_26

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